Factual package intelligence from PyPI

hackable-diffusion 1.0.1 package intelligence

Hackable Diffusion is a library for custom diffusion models.

pip install hackable-diffusion

Current version
1.0.1
Python requirement
>=3.12
License
Apache Software License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
7.3 MiB
Release history
2 releases with files
Median release cadence
0 days

hackable-diffusion dependencies

PyPI declares 42 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. absl-py
  2. aiofiles
  3. chex
  4. einops
  5. etils
  6. flax
  7. fsspec
  8. humanize
  9. immutabledict
  10. importlib_resources
  11. jax
  12. jaxtyping
  13. markdown-it-py
  14. mdurl
  15. ml_dtypes
  16. mock
  17. msgpack
  18. nest-asyncio
  19. numpy
  20. opt_einsum
  21. optax
  22. orbax-checkpoint
  23. protobuf
  24. psutil
  25. pygments

The compact report shows 25 of 42 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

hackable-diffusion publishes 1 wheel and 1 source archive for version 1.0.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .